Package: flexCWM 1.92

Angelo Mazza

flexCWM: Flexible Cluster-Weighted Modeling

Allows maximum likelihood fitting of cluster-weighted models, a class of mixtures of regression models with random covariates. Methods are described in Angelo Mazza, Antonio Punzo, Salvatore Ingrassia (2018) <doi:10.18637/jss.v086.i02>.

Authors:Mazza A., Punzo A., Ingrassia S.

flexCWM_1.92.tar.gz
flexCWM_1.92.zip(r-4.7-any)flexCWM_1.92.zip(r-4.6-any)
flexCWM_1.92.tar.gz(r-4.7-any)flexCWM_1.92.tar.gz(r-4.6-any)
flexCWM_1.92.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flexCWM/json (API)

# Install 'flexCWM' in R:
install.packages('flexCWM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.65 score 1 packages 15 scripts 448 downloads 1 mentions 16 exports 82 dependencies

Last updated from:1e000d9751. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE175
source / vignettesOK204
linux-releaseNOTE183
windows-develNOTE132
windows-releaseNOTE155
wasm-releaseOK122

Exports:cwmgetBestModelgetClustergetICgetPargetParConcomitantgetParGLMgetParPriorgetParXbingetParXmultgetParXnormgetParXpoisgetPosteriorgetSizestudent.twhichBest

Dependencies:BHcaretclasscliclockcodetoolsContaminatedMixtcpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmclustmixturemnormtModelMetricsmvtnormnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadilloRcppGSLrecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstatmodstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
flexCWM - Flexible Cluster Weighted ModelingflexCWM-package
Fit for the CWMcwm student.t
dataset ExCWMExCWM
Extractors for 'cwm' class objects.getBestModel getCluster getIC getPar getParConcomitant getParGLM getParPrior getParXbin getParXmult getParXnorm getParXpois getPosterior getSize print.cwm print.cwm.IC summary.cwm whichBest
Plot for CWMsplot.cwm
dataset studentsstudents